• Title/Summary/Keyword: Business Chart

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A Modified Target Costing Technique to Improve Product Quality from Cost Consideration

  • Wu, Hsin-Hung
    • International Journal of Quality Innovation
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    • v.6 no.2
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    • pp.31-45
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    • 2005
  • The target costing technique, mathematically discussed by Sauers, only uses the $C_p$ index along with Taguchi loss function and ${\bar{X}}-R$ control charts to set up goal control limits. The new specification limits derived from Taguchi loss function is linked through the $C_p$ value to ${\bar{X}}-R$ control charts to obtain goal control limits. This study further considers the reflected normal loss function as well as the $C_{pk}$ index along with its lower confidence interval in forming goal control limits. With the use of lower confidence interval to replace the point estimator of the $C_{pk}$ index and reflected normal loss function proposed by Spiring to measure the loss to society, this modified and improved target costing technique would become more robust and applicable in practice. Finally, an example is provided to illustrate how this modified and improved target costing technique works.

SNS 보완을 위한 DBR 스케줄러 설계 및 개발에 관한 연구

  • 전태준;황인원
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2000.11a
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    • pp.333-351
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    • 2000
  • In this paper, for DBR scheduler development I have designed prototype by using methodology and gave you some research about system integration to apply DBR sch onto the plan establishment phase of SNS system. DBR manage the constraints and the working speed of each product resource t frequently and today its role is tend to be much expanded by inserting mode information system such as MRPⅡ, ERP and SCM. So in this paper I have analyzed designed the business and inner processor for DBR scheduler development then on t of the analyzed data I have developed the simulator And moreover I will suggest method to insert it into SNS system modules. For system development I have used Delphi 4.0, Microsoft Access(DBMS) and QuickR for making report such as ordering, working directions, progress chart and inventor

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Workflow Management System for Application Integration (애플리케이션 통합을 위한 워크플로우 관리 시스템)

  • Yoon, Seok-Hyun;Oh, Myeong-Eun;Han, Sang-Yong
    • The KIPS Transactions:PartD
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    • v.10D no.6
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    • pp.1011-1016
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    • 2003
  • To cope with rapidly changing enterprise environment, many business entities introduce EAI, which integrates applications by installing middleware. But existing EAI has a serious problem that is to import imddleware-dependent coding method to integrate systems, using different middlewares. In this paper, we suggest middleware independent 'Workflow Management System' which efficiently integrates applications of various middleware systems with 'Duplicate EAI Adapter', 'state chart' and 'XML' technology.

Feature Analysis of Industrial Accidents in Manufacturing Business Using QUEST Algorithm (QUEST 알고리즘을 이용한 제조업에서의 산업재해 특성 분석)

  • Leem Young-Moon;Hwang Young-Seob
    • Journal of the Korea Safety Management & Science
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    • v.8 no.2
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    • pp.51-59
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    • 2006
  • So far, there is no technique of quantitative evaluation on danger related to industrial accidents. Therefore, as an endeavor for obtaining technique of quantitative evaluation, this study presents feature analysis of industrial accidents in manufacturing field using QUEST algorithm. In order to analyze feature of industrial accidents, a retrospective analysis was performed in 10,536 subjects (10,313 injured people, 223 deaths). The sample for this work chosen from data related to manufacturing businesses during three years $(2002\sim2004)$ in Korea. The analysis results were very informative since those enable us to know the most important variables such as occurrence type, company size, and occurrence time which can affect injured people. Also, it is found that classification using QUEST algorithm which was performed in this study is very reliable.

Stock Price Prediction Improvement Algorithm Using Long-Short Term Ensemble and Chart Images: Focusing on the Petrochemical Industry (장단기 앙상블 모델과 이미지를 활용한 주가예측 향상 알고리즘 : 석유화학기업을 중심으로)

  • Bang, Eun Ji;Byun, Huiyong;Cho, Jaemin
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.157-165
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    • 2022
  • As the stock market is affected by various circumstances including economic and political variables, predicting the stock market is considered a still open problem. When combined with corporate financial statement data analysis, which is used as fundamental analysis, and technical analysis with a short data generation cycle, there is a problem that the time domain does not match. Our proposed method, LSTE the operating profit and market outlook of a petrochemical company and estimates the sales and operating profit of the company, it was possible to solve the above-mentioned problems and improve the accuracy of stock price prediction. Extensive experiments on real-world stock data show that our method outperforms the 8.58% relative improvements on average w.r.t. accuracy.

Designing The Interface Timing Chart Between Heterogeneous Equipments in TFT-LCD Production Line for System Integration (TFT-LCD 단위 공정 시스템 통합을 위한 장치간 인터페이스 타이밍 차트 설계)

  • Eunsung Lim;Byunghyun Hwang;Kiejin Park
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.1242-1245
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    • 2008
  • 본 논문에서는 TFT-LCD 제조 라인에서의 시스템 통합에 필요한 기술 중 하나인 장치간 인터페이스 방식에 대하여 연구하였다. 이를 위해 TFT-LCD 제조 라인에서 각각의 장비들이 Glass 를 반송 하는 방법을 분석하였고 발생할 수 있는 모든 반송 방식을 각 TYPE 별로 정리하였다. 또한 각각의 내용을 분석하여 최적의 인터페이스 방안을 제안하였으며, 장치간 표준화된 인터페이스를 사용함에 따라 각 LCD 장비 제조사의 시스템 설계 기간 단축, 비용 절감, 셋업기간 단축, 향후 유지관리의 효율성 등의 효과가 기대된다.

The Analysis of Knowledge Structure using Co-word Method in Quality Management Field (동시단어분석을 이용한 품질경영분야 지식구조 분석)

  • Park, Man-Hee
    • Journal of Korean Society for Quality Management
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    • v.44 no.2
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    • pp.389-408
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    • 2016
  • Purpose: This study was designed to analyze the behavioral change of knowledge structures and the trends of research topics in the quality management field. Methods: The network structure and knowledge structure of the words were visualized in map form using co-word analysis, cluster analysis and strategic diagram. Results: Summarizing the research results obtained in this study are as follows. First, the word network derived from co-occurrence matrix had 106 nodes and 5,314 links and its density was analyzed to 0.95. Average betweenness centrality of word network was 2.37. In addition, average closeness centrality and average eigenvector centrality of word network were 0.01. Second, by applying optimal criteria of cluster decision and K-means algorithm to word co-occurrence matrix, 106 words were grouped into seven clusters such as standard & efficiency, product design, reliability, control chart, quality model, 6 sigma, and service quality. Conclusion: According to the results of strategic diagram analysis over time, the traditional research topics of quality management field related to reliability, 6 sigma, control chart topics in the third quadrant were revealed to be declined for their study importance. Research topics related to product design and customer satisfaction were found to be an important research topic over analysis periods. Research topic related to management innovation was emerging state and the scope of research topics related to process model was extended to research topics with system performance. Research topic related to service quality located in the first quadrant was analyzed as the key research topic.

A Note for 1.5σ Shift of Six Sigma (식스시그마의 1.5σ 이동에 대한 소고)

  • Park, Jong Hun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.1
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    • pp.31-40
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    • 2022
  • Six Sigma is a philosophy and systematic methodology for quality improvement. It encourages continuous quality improvement efforts to achieve the ideal goal of 6σ. Sigma(σ) is a statistic representing the standard deviation of the normal distribution, and 6σ level means a level where the tolerance of the specification is six times the standard deviation of the process distribution. In terms of the defective rate, the 6σ level achieves the 0.002 defectives per one million units. However, in the field, the 6σ level is used in the sense of achieving 3.4 defects per one million opportunities, which shows a large gap from the 6σ level in the statistical viewpoint. This is because field practitioners accept a 1.5σ shift of the mean of process when calculating the defective rate under sigma level. It said that the acceptance of 1.5σ shift of the mean is from experience, but there is no research or theoretical explanation to support it logically. Although it is a non-scientific explanation based on experience, considering that there has been no objection to the 1.5σ shift for a long time and it is rather accepted, it is judged that there is a reasonable basis for the 1.5σ shift. Therefore, this study tries to find a reasonable explanation through detective power of control chart via the run-rules to the 1.5σ shift empirically recognized by practitioners.

A Decision Monitoring System for Machine Learning Based Dispatcher of Manufacturing Lines (제조라인의 학습기반 디스패처를 위한 디스패치 의사결정 평가 시각화시스템)

  • Huh, Jaeseok;Park, Jonghun
    • The Journal of Society for e-Business Studies
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    • v.25 no.1
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    • pp.1-12
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    • 2020
  • Recently, research using machine learning have shown remarkable results in various domains, leading to the fact that leaning-based dispatchers have intrigued interest in both academia and industry. To improve the performance of the dispatcher, each dispatch decision needs to be evaluated in detail. However, existing studies on visualization techniques for manufacturing lines have mainly focused on illustrating the performance indicators or abnormal patterns. In this paper, we propose a monitoring system that displays a variety of information about the manufacturing line along with alternatives at the time of each dispatching decision being made. Furthermore, the proposed system effectively represents the cause of the idle time of resources and the change of the performance index over time.

A study to Find Factors of the Box Office Record in Korean Popular Music : by Control Effects of Management Companies and Distribution Companies (대중음악 흥행결정요인이 국내대중음악 흥행성과에 미치는 영향 : 기획사와 유통사의 조절효과를 중심으로)

  • Kim, Yang Sug;Lee, Sang Houck
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.1
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    • pp.23-31
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    • 2015
  • The purpose of this study is to find the factors of the box office record in Korean popular music. For this purpose, 1.239 musics were selected in the Gaon digital weekly album chart from second week July 2013 to first week July 2014. The result can be summarized as follows: First, entertainment of music company, distribution of music company, singer, OST(Original Sound Track), television show, SNS and high ranking in the first week of its release are the factors of the box office record in Korean popular music. Second, entertainment of a large number of music production company is more effective than the others, but there is no difference in the case of distribution music company. Third, musics of singers who have large number of music ranked Gaon digital chart and appearance of television show program are effective in the box office record in Korean popular music. Fourth, SNS are great factors to promote Korean popular music. Fifth, it is important to rank high position in the first week of its release.

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